NDLI: An error-revision-based method for very short-term wind speed prediction using wavelet transform and support vector machine

Content Provider	IEEE Xplore Digital Library
Author	Xuewei Duan Qingquan Li Ruiqi Wang Yong Zhang Shumin Sun Chengyu Lang
Copyright Year	2015
Description	Author affiliation: Shandong Provincial Key Lab. of UHV, Shandong Univ., Jinan, China (Xuewei Duan; Qingquan Li) \|\| State Grid Shandong Electr. Power Res. Inst., Jinan, China (Ruiqi Wang; Yong Zhang; Shumin Sun; Chengyu Lang)
Abstract	With the rapid growth of wind power connected to the power system, the problems caused by the volatile nature of wind speed have drawn more and more attention from system operator and researchers. The effective wind speed and power prediction of is the key to solve all these problems. This paper proposed a method based on prediction error revision, which use wavelet transform and Grid Search optimized SMO-SVM during data processing. The simulation indicate that the proposed method performs better than the traditional forecasting model on one and three step ahead prediction.
Starting Page	197
Ending Page	202
File Size	1041884
Page Count	6
File Format	PDF
e-ISBN	9781479998920
DOI	10.1109/ICCAIS.2015.7338661
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-10-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Wavelet transforms Wind speed prediction Wind speed SMO Predictive models Grid search Prediction algorithms Data models SVM Error revision
Content Type	Text
Resource Type	Article

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